PM Chapter Test Confidence The gas mileages (in miles per gallon) of 27 randomly selected sports cars are listed in the accompanying table. Assume the mileages are not normally distributed. Use the standard normal distribution of the t-distribution to construct a 95% confidence interval for the population mean, Justify your decision. If neither distribution can be used explain why. Interpret the results. Click the icon to view the sports car gas mileages. Lot o be the population standard deviation and let n be the sample sire. Which distribution should be used to construct the confidence interval? (1) be used to construct the confidence interval, since (2) Identify the confidence interval. Select the correct choice below and, if necessary, ill in the answer box to complete your choice. A. (Round to one decimal place as needed.) OB. Neither the standard normal distribution nor the t-distribution can be used to construct the interval. Interpret the results. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. OB. With % of all random samples of 27 sports cars from the population of all sports cars will have a mean gai (Type an integer or a decimal. Do not round.) % confidence, it can be said that the mean gas mileage of all sports cars (in miles per gallon) is (Type an integer or a decimal. Do not round.) OC. It can be said that % of all sports cars have a gas mileage (in miles per gallon) that is between the in (Type an integer or a decimal. Do not round.) % confidence, it can be said that most sports cars in the population have gas mileages (in miles (Type an integer or a decimal. Do not round.) O E Neither the standard normal distribution nor the t-distribution can be used to construct the interval OD. With 1: Sports Car Gas Mileages 21 19 32 23 18 19 19 22 17 23 28 21 21 22 24 22 24 23 20 19 21 23 22 28 24 25 24 3/1/22, 12:51 PM (1) O The standard normal distribution should O At-distribution should Neither distribution can (2) O is unknown and the population is not normally distributed. o is known and n